Why this server?
This server helps you build a persistent semantic graph from conversations, storing knowledge in Markdown files on your computer, integrates with Obsidian.md which allows full control and ownership of data.
Why this server?
This server allows AI assistants to read, create, and manipulate notes in Obsidian vaults through the Model Context Protocol.
Why this server?
This server connects Claude Desktop to any directory containing Markdown notes (such as an Obsidian vault) allowing reading and searching.
Why this server?
Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
Why this server?
Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
Why this server?
A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant).
Why this server?
Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.
Why this server?
A Model Context Protocol server that enables AI assistants to read, write, and manipulate notes in your Obsidian vault through a standardized interface.
Why this server?
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases, enabling direct access and manipulation of Obsidian notes.